DONG, HONGWEI
http://hdl.handle.net/10211.3/165062
2024-03-29T09:47:06ZThe impact of income inequality on rental affordability: An empirical study in large American metropolitan areas
http://hdl.handle.net/10211.3/194959
The impact of income inequality on rental affordability: An empirical study in large American metropolitan areas
Dong, Hongwei
American metropolitan areas have experienced rising income inequality and worsening rental affordability in the past few decades. Has the rise of inequality caused worsening rental affordability? This study conducts both cross-sectional and longitudinal analyses to examine the impact of income inequality on rental affordability for low-income tenant households at the county level in America’s largest 100 metropolitan areas. The cross-sectional analyses reveal that, everything else equal, an increase of Gini coefficient by 0.1 in a county was associated with 2.2 and 4.4 percentage points more severely rent-burdened low-income households in 2000 and 2008–2012, respectively. The longitudinal analyses confirm that rising income inequality caused worsening rental affordability for low-income tenant households in large American metropolitan areas between 2000 and 2008–2012. On average, counties that experienced a 0.1 greater increase in Gini coefficient from 2000 to 2008–2012 saw faster growth of severely rent-burdened low-income tenant households by 2.9 percentage points.
This is a post-print of an article published by Sage in Urban Studies on 7/12/2017, available online: https://doi.org/10.1177/0042098017710380.
0007-01-01T00:00:00ZResponding to the Drought: A Spatial Statistical Approach to Investigating Residential Water Consumption in Fresno, California
http://hdl.handle.net/10211.3/193758
Responding to the Drought: A Spatial Statistical Approach to Investigating Residential Water Consumption in Fresno, California
Wang, Chih-Hao; Dong, Hongwei
Using data from the 2015 Residential Water Consumption Survey, this study examines residential water-use behavior and attitudes after the recent drought in Fresno, California. Spatial autoregressive models of residential water consumption were estimated, accounting for the effects of social interactions in communities (i.e., neighborhood effects), while controlling for indoor and outdoor house attributes, economic conditions, and attitudes toward water uses. The findings show that the spatial autocorrelations do exist. This suggests that the neighborhood effects can be a useful lever to facilitate initiatives aiming at promoting community engagement on water-saving practices. The results also indicate that a larger house tends to incur more water use, so does the presence of pools. Using a drip irrigation system for watering the backyard can help reduce water consumption. Medium income families turn out to use the least amount of water among different income groups, suggesting that water-saving policies may yield different results among residents of various income levels. Interestingly, respondents who considered themselves heavy water users actually used less water. This implies that the awareness of water importance can significantly influence residents’ water-use behavior and therefore the promotion of a water-saving culture can help reduce residential water consumption.
From Sustainability 2017, 9(2), 240.
0002-01-01T00:00:00ZAssessing the impacts of smart growth policies on home developers in a bi-state metropolitan area: evidence from the Portland metropolitan area
http://hdl.handle.net/10211.3/165570
Assessing the impacts of smart growth policies on home developers in a bi-state metropolitan area: evidence from the Portland metropolitan area
Dong, Hongwei; Gliebe, John
While there are many empirical studies examining the effectiveness of smart growth policies, few of them study the perspective of developers, the major urban space producers in US cities. This article assesses the impacts of smart growth policies on home developers in the Portland bi-state metropolitan area by developing home developer location choice models. The study shows that home developers in the region are sensitive to most smart growth policies being implemented in the region, but they react to them differently across the border between Oregon and Washington due to their different land use planning systems. The findings suggest that smart growth policies impact single- and multifamily home developers’ location choices differently and that home developers exhibit strong spatial inertia in their location choice.
This is an Accepted Manuscript of an article published by SAGE in Urban Studies on 10/12/2011. Available online: http://dx.doi.org/10.1177/0042098011422575.
2011-01-01T00:00:00ZDo residents of smart growth neighborhoods in Los Angeles travel "smarter”?
http://hdl.handle.net/10211.3/165569
Do residents of smart growth neighborhoods in Los Angeles travel "smarter”?
Zhu, Pengyu; Dong, Hongwei; Wu, Cifang
With the individual trip diary from the recent 2009 National Household Travel Survey, a study was done on the effect of neighborhood-level smart growth patterns and socioeconomic diversity on commute mode choice, daily work travel mode choice, and nonwork travel mode choice for individuals living in neighborhoods in the Los Angeles, California, metropolitan statistical area. Model results consistently showed that nonauto transportation infrastructure diversity and quality were the most important aspects of smart growth patterns that affected the choice of nonauto travel modes. Moreover, housing mix in a neighborhood increased the likelihood of choosing walking and cycling for daily work trips and daily nonwork trips. The socioeconomic diversity of a neighborhood reduced the likelihood of choosing walking and cycling for daily nonwork trips. The remaining two factors—residential density and mixed use—insignificantly affected travel mode choice. Overall, people living in smart growth neighborhoods in Los Angeles do travel smarter, in that they use environmentally more sustainable (bus and train) and healthier (walking and cycling) travel modes.
This is an Accepted Manuscript of an article published by National Academy of Sciences in Transportation Research Record in 2013.
2013-01-01T00:00:00Z